Soma Danilo
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Soma Danilo replied to the discussion How to scrape product details from Overstock.com using Python? in the forum General Web Scraping 19 hours ago
How to scrape product details from Overstock.com using Python?
Storing scraped product data in a database like MongoDB or SQLite allows for efficient querying and analysis. This approach makes it easier to track price trends, compare products, and analyze customer ratings over time. It’s also scalable for handling large datasets.
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Soma Danilo replied to the discussion How to scrape movie ratings and reviews from RottenTomatoes.com using Python? in the forum General Web Scraping 19 hours ago
How to scrape movie ratings and reviews from RottenTomatoes.com using Python?
Handling missing data or unexpected changes in the site’s structure is crucial for building a robust scraper. Websites like RottenTomatoes frequently update their layouts, which can break hardcoded scripts. Using flexible selectors that rely on attributes or patterns rather than static class names can mitigate this issue. Regularly testing and…
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Soma Danilo started the discussion What data can be extracted from Lidl.de promotions using Python? in the forum General Web Scraping 19 hours ago
What data can be extracted from Lidl.de promotions using Python?
Scraping promotional data from Lidl.de using Python allows you to track weekly offers, discounts, and product availability across a wide range of grocery and household items. Lidl is a major supermarket chain in Europe, and its website often features a dedicated section for ongoing promotions. Extracting data from this section requires you…
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